CVE-2022-35999 — Reachable Assertion in Tensorflow

CWE-617 — Reachable Assertion5 documents5 sources
Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 80.05%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedSep 16

Description

TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and Tensor…

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HExploitability: 3.9 | Impact: 3.6

Affected Packages3 packages

▶NVDgoogle/tensorflow2.8.0 — 2.8.1+3
▶CVEListV5tensorflow/tensorflow< 2.7.2+2
▶PyPIintel/optimization_for_tensorflow2.8.0 — 2.8.1+2

Patches

Patch: github.com ↗Patch: github.com ↗

🔴Vulnerability Details

3
CVEList
`CHECK` fail in `Conv2DBackpropInput` in TensorFlow↗2022-09-16
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OSV
TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`↗2022-09-16
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GHSA
TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`↗2022-09-16
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📋Vendor Advisories

1
Debian
CVE-2022-35999: tensorflow - TensorFlow is an open source platform for machine learning. When `Conv2DBackprop...↗2022
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CVE-2022-35999 — Reachable Assertion in Tensorflow | cvebase